Reading up on AlphaFold
7 deep · digging since dec 01, 25
- Why Specialization Is Inevitable
Specialization is inevitable across optimization, biology, markets, and ML because fit beats breadth under finite resource constraints.
- AI is doing something weird to Science
Scientific discovery emerges from a loop of human question-posing, LLM proposal, external verification, and human curation, not from AI alone.
- Demis Hassabis: We're Three Quarters of the Way to AGI - YouTube
Demis Hassabis estimates Google DeepMind is 75% of the way to achieving artificial general intelligence, citing AlphaFold and other breakthroughs.
- The happiest I've ever been
A software developer finds greater happiness coaching youth basketball than in his tech career, prompting reflection on meaning and purpose beyond code.
- Jeremy Mikkola - AI Thoughts
The article outlines potential downsides and limitations of AI development, including model stagnation, chip shortages, and cheap models, while also predicting advances like robot models and continual learning.
- 400 Bad Request
AGI capable of most cognitive work could arrive by 2028–2034, but deployment will lag capability due to verification bottlenecks, uneven automation, and institutional friction.
- The Thinking Game Film – Google DeepMind documentary
The documentary 'The Thinking Game' profiles Google DeepMind and Demis Hassabis, focusing on the AlphaFold breakthrough and the pursuit of artificial general intelligence.